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Theoretical physicists working at a blackboard collaboration pod in the Beecroft building.
Credit: Jack Hobhouse

Professor Joseph Conlon

Professor of Theoretical Physics

Research theme

  • Particle astrophysics & cosmology
  • Fundamental particles and interactions
  • Fields, strings, and quantum dynamics

Sub department

  • Rudolf Peierls Centre for Theoretical Physics

Research groups

  • Particle theory
Joseph.Conlon@physics.ox.ac.uk
Telephone: 01865 (2)73608
Rudolf Peierls Centre for Theoretical Physics, room 60.10
My personal webpage
  • About
  • Publications

A note on the magnitude of the flux superpotential

JOURNAL OF HIGH ENERGY PHYSICS (2014) ARTN 027

Authors:

Michele Cicoli, Joseph P Conlon, Anshuman Maharana, Fernando Quevedo
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Details from ArXiV

Soft X-ray Excess in the Coma Cluster from a Cosmic Axion Background

(2013)

Authors:

Stephen Angus, Joseph P Conlon, MC David Marsh, Andrew Powell, Lukas T Witkowski
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A Note on the Magnitude of the Flux Superpotential

(2013)

Authors:

Michele Cicoli, Joseph P Conlon, Anshuman Maharana, Fernando Quevedo
More details from the publisher

Excess Astrophysical Photons from a 0.1–1 keV Cosmic Axion Background

Physics Review Letters 111 (2013) 15130

Authors:

J Conlon, MCD Marsh
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Searching for a 0.1-1 keV Cosmic Axion Background

Phys. Rev. Lett. 111 (2013) 151301-151301

Authors:

JP Conlon, MCD Marsh

Abstract:

Primordial decays of string theory moduli at z \sim 10^{12} naturally generate a dark radiation Cosmic Axion Background (CAB) with 0.1 - 1 keV energies. This CAB can be detected through axion-photon conversion in astrophysical magnetic fields to give quasi-thermal excesses in the extreme ultraviolet and soft X-ray bands. Substantial and observable luminosities may be generated even for axion-photon couplings \ll 10^{-11} GeV^{-1}. We propose that axion-photon conversion may explain the observed excess emission of soft X-rays from galaxy clusters, and may also contribute to the diffuse unresolved cosmic X-ray background. We list a number of correlated predictions of the scenario.
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